The Path of Technology Diffusion: Which Neighbors to Learn From?

This study uses a panel data set of 25 years over 280 districts in rural India and applies a geographic information systems (GIS) program to investigate the regional neighborhood effect on the rate of diffusion of new technologies. The results show that in the technology diffusion process, the early...

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Published in:Contemporary Economic Policy Vol. 20; no. 4; pp. 470 - 479
Main Authors: Zhang, Xiaobo, Fan, Shenggen, Cai, Ximing
Format: Article
Published: Wiley-Blackwell October 2002
Subjects:
Online Access:View this record in EBSCOhost
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        atl: The Path of Technology Diffusion: Which Neighbors to Learn From?
      aug:
        au:
          Zhang, Xiaobo
          Fan, Shenggen
          Cai, Ximing
      su:
        Agricultural innovations
        Agriculture
        Neighborhoods
        Diffusion of innovations
        Regional economics
        Economic development
        Technological innovations
        Mathematical models
        India
      sug:
        subj:
          India
          Agricultural innovations
          Agriculture
          Neighborhoods
          Diffusion of innovations
          Regional economics
          Economic development
          Technological innovations
          Mathematical models
      ab: This study uses a panel data set of 25 years over 280 districts in rural India and applies a geographic information systems (GIS) program to investigate the regional neighborhood effect on the rate of diffusion of new technologies. The results show that in the technology diffusion process, the early successful adopters have a larger effect on neighboring adopters than do the early unsuccessful adopters. Hence, use of the aggregate or the simple average of adoption rate among neighborhoods as a proxy for the neighborhood effect, a common practice in the learning literature, may be inappropriate. We also find that education and irrigation play important roles in facilitating technology diffusion. (JEL D83, O13, Q16) Reprinted by permission of the publisher.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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